Summary
Quantitative tools play a crucial role in conducting rigorous analysis in economic and policy research. Economists and policy researchers use such econometric and policy evaluation techniques to analyze economic relationships, establish causalities, visualize data, and forecast future trends. These tools offer an in-depth understanding of micro- and macro-level data, enabling researchers to quantitatively analyze economic and financial phenomena. The objective of this training program is to acquaint the participants with how to assess the impact of policies and interventions, write policy reports, and draw valuable insights to make informed decisions.
The Asian Development Bank Institute (ADBI) invites applications for this online training program from researchers working on development issues in the ADB developing member countries. The program will provide knowledge on the quantitative skills to produce reliable empirical evidence, formulate hypotheses, and offer data-driven policy recommendations. Topics include:
- Discrete Choice-Based Models
- Impact Evaluation Tools (Randomized Control Trails, Quasi-Experimental Methods, Propensity Score Matching, Difference-In-Difference, etc.)
- Linear Panel Data Methods
- Time-Series Econometric Approaches
- Spatial Econometric Approaches
- Frontier-Based Parametric and Nonparametric Approaches (DEA, SFA, etc.)
- Policy Report Writing
Register by August 2, 2024, 5:00 pm